Shashank A Email & Phone Number

San Francisco, Ca, Us

Waltham, Ma, Us

Boston, Massachusetts, United States

Boston, Massachusetts, United States

• Collaborated with Agile teams to implement time series forecasting models using NumPy, Pandas, and Matplotlib, improving predictive accuracy by 25%.• Leveraged Python, R, and SQL to automate data cleaning and wrangling processes, reducing processing time by 35%.• Develop interactive dashboards using Tableau, Power BI, and Qlik View, increasing reporting efficiency by 40%.• Apply SAS and SAS Enterprise Miner to perform complex statistical analysis, identifying trends that enhanced decision-making for marketing campaigns by 20%.• Implemented data visualization tools such as ggplot2 and Seaborn to communicate insights to stakeholders, boosting understanding of KPIs by 30%.• Managed databases like MySQL, MongoDB, and Oracle DB, ensuring data integrity and improving query performance by 15%.• Led migrating data storage solutions to AWS and Azure, improving data accessibility and scalability by 40%.• Built automated data pipelines integrating Salesforce and other business applications with Snowflake, reducing manual data processing by 35%.• Developed and deployed data transformation workflows using Matillion, Fivetran and optimized data preparation with dbt, improving data accuracy by 25%.• Utilized Python for API extraction and data transformation, supporting scalable data warehouse solutions on AWS.

• Controlled a team through Waterfall project execution, completing a multi-phase data transformation project ahead of schedule by 15%.• Developed custom data pipelines using Hadoop, MapReduce, and Apache Spark to process large-scale datasets, reducing data processing times by 50%.• Designed SQL queries in Oracle SQL Developer to extract and analyze business-critical data, leading to a 15% improvement in operational efficiency.• Created dynamic dashboards in Tableau and Power BI that contributed to a 20% improvement in data-driven decision-making across departments.• Managed end-to-end data cleaning and wrangling processes using Python and R, ensuring a 30% increase in data quality and accuracy.• Led integrating cloud-based storage systems, including AWS, Azure, and GCP, improving data accessibility by 25%.• Utilized Java and C to build analytical tools that automated repetitive data tasks, resulting in a 30% reduction in manual effort.• Streamlined the migration and optimization of data workflows using Apache Airflow for scheduling and automating ETL processes, improving pipeline efficiency by 30% and reducing manual intervention.• Integrated CI/CD pipelines with Git, automating deployment for seamless data operations in a fast-paced environment.• Conducted time series forecasting using SciPy, improving sales projections by 18% for key business units.• Deployed machine learning algorithms through SAS and SAS Enterprise Miner to predict customer behavior, increasing customer retention by 12%.• Optimized SQL and NoSQL databases, increasing query efficiency by 20% and reducing system downtime by 10%.

Masters, Computer Information Systems

Bachelor Of Engineering - Be